Richard Baumgartner
Orcid: 0000-0003-3330-8477
According to our database1,
Richard Baumgartner
authored at least 27 papers
between 1999 and 2024.
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Bibliography
2024
3D Segmentation of Necrotic Lung Lesions in CT Images Using Self-Supervised Contrastive Learning.
IEEE Access, 2024
2023
Multi-dimension unified Swin Transformer for 3D Lesion Segmentation in Multiple Anatomical Locations.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the AMIA 2022, 2022
2021
A Framework for an Assessment of the Kernel-target Alignment in Tree Ensemble Kernel Learning.
CoRR, 2021
2020
(Decision and regression) tree ensemble based kernels for regression and classification.
CoRR, 2020
A Deep Learning-Facilitated Radiomics Solution for the Prediction of Lung Lesion Shrinkage in Non-Small Cell Lung Cancer Trials.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020
2013
Quantifying temporal correlations: A test-retest evaluation of functional connectivity in resting-state fMRI.
NeuroImage, 2013
2012
Modulation of CNS pain circuitry by intravenous and sublingual doses of buprenorphine.
NeuroImage, 2012
2010
A Statistical Framework for Optimal Design Matrix Generation With Application to fMRI.
IEEE Trans. Medical Imaging, 2010
NeuroImage, 2010
2008
A multilevel tabu search algorithm for the feature selection problem in biomedical data.
Comput. Math. Appl., 2008
2006
Data complexity assessment in undersampled classification of high-dimensional biomedical data.
Pattern Recognit. Lett., 2006
2005
Artif. Intell. Medicine, 2005
Using Domain Knowledge for in the Random Subspace Method: Application: Application to the Classification of Biomedical Spectra.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005
Proceedings of the Artificial Intelligence in Medicine, 2005
Proceedings of the Artificial Intelligence in Medicine, 2005
2004
A Data-Driven, Flexible Machine Learning Strategy for the Classification of Biomedical Data.
Proceedings of the Artificial Intelligence Methods And Tools For Systems Biology, 2004
Mapping high-dimensional data onto a relative distance plane - an exact method for visualizing and characterizing high-dimensional patterns.
J. Biomed. Informatics, 2004
Consensus-Based Identification of Spectral Signatures for Classification of High-Dimensional Biomedical Spectra.
Proceedings of the 17th International Conference on Pattern Recognition, 2004
2003
Class prediction and discovery using gene microarray and proteomics mass spectroscopy data: curses, caveats, cautions.
Bioinform., 2003
Proceedings of the Multiple Classifier Systems, 4th International Workshop, 2003
2002
Proceedings of the Structural, 2002
1999
Int. J. Imaging Syst. Technol., 1999